2020
DOI: 10.1177/0954411920946526
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Artificial intelligence approaches to predict coronary stenosis severity using non-invasive fractional flow reserve

Abstract: Fractional flow reserve is the current reference standard in the assessment of the functional impact of a stenosis in coronary heart disease. In this study, three models of artificial intelligence of varying degrees of complexity were compared to fractional flow reserve measurements. The three models are the multivariate polynomial regression, which is a statistical method used primarily for correlation; the feed-forward neural network; and the long short-term memory, which is a type of recurrent neural networ… Show more

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Cited by 13 publications
(7 citation statements)
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“…Deep learning (DL), a new Artificial Intelligence (AI) trend that uses multi-layer perception network [8], has received increasing attention from researchers and has been widely applied to numerous real-world applications and across many fields [2,9,10,11,12,13,14,15]. Deep learning is able to effectively capture the non-linear and non-trivial user-item relationships, and it enables the codification of more complex abstractions as data representations in the higher layers.…”
Section: Deep Learningmentioning
confidence: 99%
“…Deep learning (DL), a new Artificial Intelligence (AI) trend that uses multi-layer perception network [8], has received increasing attention from researchers and has been widely applied to numerous real-world applications and across many fields [2,9,10,11,12,13,14,15]. Deep learning is able to effectively capture the non-linear and non-trivial user-item relationships, and it enables the codification of more complex abstractions as data representations in the higher layers.…”
Section: Deep Learningmentioning
confidence: 99%
“…It has become hard to escape from artificial intelligence (AI) in science, and AI will not be absent in this special issue thanks to the work of Carson et al 14 who applied artificial intelligence strategies for the estimation of coronary fractional flow reserve (FFR), the clinical golden standard to assess the severity of coronary stenosis. To measure FFR, an invasive intracoronary pressure recording is required, distal to the stenosis after induction of maximal vasodilation.…”
Section: Physiological Fluid Mechanics: a Special Issue With A Tastermentioning
confidence: 99%
“…In the present work, each of these steps are enabled by artificial neural network models, a type of artificial intelligence system, that are well established for complex diagnosis with unprecedented levels of accuracy. [26][27][28][29] These methods require significant amount of data for training and testing. However, acquiring, de-identifying and indexing huge amounts of COVID-19 patient data from ITU is currently challenging.…”
Section: Introductionmentioning
confidence: 99%